Wei Li

Molecular Biology · with Quan · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 7 citations into it

Whom Wei Li trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Tianqi Chen
2. John Hartigan
3. Ilya Sutskever
4. Yifei Chen
5. Carlos Guestrin
6. James Martens
7. Fabian Pedregosa
8. Michael Domrachev
9. Geoffrey E. Hinton
10. Yi Li

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. On the importance of initialization and momentum in deep learning
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Gene Expression Value Prediction Based on XGBoost Algorithm (2019) — 295 citations